Abstract
Soil‐salinisation has become an increasingly severe form of soil degradation due to climate variability and human disturbance in arid and semi‐arid areas. A cellular automata (CA) model was used by integrating a geographic inform ation system (GIS) and remote sensing. Spatial and attribute data from Changling County were analysed to form a database in the GIS. Factors for soil‐salinisation were confirmed. A soil salinity forecast formula was obtained by analysing the soil‐salinisation system in Changling County. The CA model and database were integrated to simulate and forecast the soil‐salinisation spatial‐temporal distribution and its evolution. The results indicate the CA model is an effective decision‐making support system for the prevention and control of soil‐salinisation.
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